WIRE)--TSYS (NYSE: TSS), today announced an agreement with Featurespace, a global leader in adaptive behavioral analytics, that will reduce fraud for its clients with a revolutionary machine learning software platform -- the ARICSM engine -- that monitors every individual -- one customer at a time -- to deliver real-time decision capabilities. "TSYS' collaboration with Featurespace aligns with our overall strategy of integrating with advanced, innovative technology partners to help our clients grow their business, reduce costs, and deliver an exceptional customer experience," said Andrew Mathieson, group executive, issuer product group, TSYS. "We will incorporate these capabilities across the credit risk lifecycle, enabling our issuers to catch more fraudulent transactions while dramatically reducing false-positive alerts for genuine transactions -- a sharp contrast to the industry paradigm of blocking more valid transactions in order to detect actual fraudulent activity." The new agreement allows TSYS to strengthen its position in faster payments by leveraging machine learning to provide clients with actionable insights in real time, using adaptive behavioral analytics that result in operational efficiencies. "TSYS has a long-standing leadership position in authorization processing and fraud management and we are excited to integrate our ARIC engine for TSYS' clients," said Martina King, chief executive officer, Featurespace.

Google has been working on a secret custom chip called Tensor Processing Unit for last several years to speed up various machine learning tasks. At the I/O developer conference 2016, Google CEO Sundar Pichai revealed this information and said that the company has been using the chip in various AI applications for last one year. The custom application-specific integrated circuit (ASIC) chip has been running in Google data centre racks for past one year. It powers various applications at Google such as RankBrain (to improve the relevancy of search results in Google search), Google Street View( to improve quality and accuracy of maps and navigation) and the famed AlphaGo artificial intelligence (AI) powered Go player that beat top-ranked Go player Lee Sedol this year. In addition to it, voice recognition services and Cloud Machine Learning services of Google also run on Tensor Processing Unit chips.

Havas Group has formed an agreement with IBM to form a new practice that will focus on the use of artificial intelligence systems in marketing. The practice will collaborate with clients to identify ways in which IBM's Watson AI technology can be applied to their marketing efforts, followed by software development and campaign execution. During the pilot phase, the practice developed a marketing program for TD Ameritrade which monitored social media sites in order to analyze the sentiments of professional football fans nationally in the United States. The company used the data to select a "most confident fan" to feature in its brand engagement initiatives. According to the agency, this was the first ever program of its type.

Cloud Vision API and Speech API let you take advantage of fully-trained machine learning models from Google. These technologies enable the powerful search behind Google Photos, and voice search in the mobile Google App. In this session we learn how to build a smart RaspberryPi robot that can detect faces, objects, and follow voice commands using these APIs. See all the talks from Google I/O 2016 here: https://goo.gl/olw6kV

How machines deal with comprehending human languages is called Natural Language Understanding (NLU), and revolutionary changes in this technology have given us the many virtual assistants we have today. However, NLU still has many obstacles to go through due to the ambiguous nature of the countless languages all over the world. Now, Google claims they're cutting through these difficulties as they announced the open sourcing of a neural network software developed with TensorFlow, SyntaxNet, together with…Parsey McParseface, apparently an English parser. Parsing, in linguistics, is the breaking down of sentences into their component parts to define what each part means. Experts assert that this is a first key component in NLU systems.

Let's check in with who's on the AI (artificial intelligence) train. Apple kicked things off this year, announcing back in January that it had purchased Emotient, an AI tech startup in the facial recognition business. Did Apple say why it bought that company? Of course, it did not; mind your own business. Jump ahead to spring, and the next big company in the retail space (specifically, the biggest company in eCommerce) to make an AI-related move this year was Amazon.

A poetic Turing test was held at Dartmouth yesterday to pit artificial intelligence against human poets, AP reported. Good news: the computers lost. Judges could easily tell the difference between robot-written sonnets. One of the judges, Harvard English professor and New Yorker contributor Louis Menand, cited syntactical oddities and "uses of language that were just a little off," as reasons why the AI-written sonnets stuck out as so obviously fraudulent. Machines are getting better at natural language.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

If you were wondering what Microsoft's response would be to the next-generation, conversational Google Assistant that debuted at Google I/O, a job posting may have revealed it: Bing Concierge. ZDNet's Mary Jo Foley unearthed a job posting for what Microsoft calls the Bing Concierge Bot, a natural language agent that fulfills tasks on behalf of the user. But while Assistant appears to restrict itself to the Android platform, Microsoft seems to believe Bing Concierge could run on any number of instant-messenger platforms. "In Bing Concierge Bot... we are building a highly intelligent productivity agent that communicates with the user over a conversation platform, such as Skype, Messenger, SMS, WhatsApp, Telegram, etc.," the job listing reads. Why this matters: Just as Google moves on from Google Now, Microsoft appears to be evolving beyond Cortana.

A drone takes a practice flight in Virginia with medical supplies -- part of a project to evaluate the flying machines for use in humanitarian crises. A drone takes a practice flight in Virginia with medical supplies -- part of a project to evaluate the flying machines for use in humanitarian crises. She was a mother in rural Ghana. She only wanted four children. That's a story that Faustina Fynn-Nyame told at the Women Deliver conference this week in Copenhagen, Denmark.